Endüstri Mühendisliği Yüksek Lisans Programı (Tezsiz)

Introduction

The Department of Industrial Engineering at Eastern Mediterranean University provides very good facilities for carrying out highly competitive and demanding industrial engineering programs both at graduate and undergraduate levels.

The Industrial Engineering Department offers graduate programs leading to MS without thesis degree. Earning an MS degree is an exciting undertaking and a wonderful way to invest in your future. Just as every journey begins with a single step, every intellectual journey to university begins with its own sort of step- filling out a form. Please visit our Application Form page (from the link below) to get your journey started.

Click on "Apply Online now" that appears on the top-right of the page. All needed information that answers your questions about graduate studies at EMU, applications, acceptance and requirements are available in the same page.

MS Program in Industrial Engineeringwithout Thesis

The MS program without thesis is designed to provide students who wish to pursue a career as an administrator a strong analytical basis for advanced theoretical work or for development of new approaches to applications, and technological developments.

Students are admitted to this program based on several criteria including their previous academic performance, field of undergraduate education, and availability of openings at the department.

Students with non-IE background are given the "Probationary" status and they are required to take pre-requisite preparatory courses or their equivalents in the "Deficiency Program". Depending on the students' background, they may need to take up to 4 deficiency courses. However, the total duration of the deficiency program cannot exceed 2 semesters with a maximum of 5 courses each semester, and therefore students with non-engineering background are encouraged to apply for MS in IE without Thesis. The duration or time to spend by a student in the deficiency program and in the "Graduate English Preparatory Program" is not considered as a part of the normal duration limit of the MS program.

The Deficiency Program for students with non-IE background

CODE

COURSE TITLE

CREDIT

MATH322

Probability and Statistical Methods

(3,1) 3

IENG385

Statistical Applications in Engineering

(3,1) 3

IENG313

Operations Research I

(4,1) 4

IENG431

Production Planning II

(4,1) 4

The MS Curriculum

The MS degree candidates are required to take the following courses:

CODE

COURSE TITLE

CREDIT

IENG513

Probabilistic Models

3

IENG531

Production Planning and Scheduling

3

IENG599

Term Project

0

REQUIRED ELECTIVE COURSES

Course Code

Course Name

Credit

IENG5xx

A course in Optimization

3

IENG5xx

A course in Design and Analysis of Experiments

3

IENG5xx

IE Elective

3

IENG5xx

IE Elective

3

IENG5xx

IE Elective

3

DDDD5xx

Approved Elective

3

DDDD5xx

Approved Elective

3

DDDD5xx

Approved Elective

3

Approved Electives

CODE

COURSE TITLE

CREDIT

IENG501

Algorithms and Advanced Programming

(3,0) 3

IENG502

Numerical Methods in IE and OR

(3,0) 3

IENG505

Ergonomics

(3,0) 3

IENG509

Occupational Safety and Health Engineering

(3,0) 3

IENG511

Optimization Theory

(3,0) 3

IENG512

Advanced Linear Programming

(3,0) 3

IENG515

Applied Queuing Theory

(3,0) 3

IENG516

Network Flows

(3,0) 3

IENG517

Integer and Discrete Programming

(3,0) 3

IENG521

Multi-Objective Decision Making

(3,0) 3

IENG522

Decision Analysis

(3,0) 3

IENG523

Investment Decision Making

(3,0) 3

IENG524

Financial Engineering

(3,1) 3

IENG532

Inventory Theory

(3,0) 3

IENG533

Scheduling in Manufacturing and Service Systems

(3,0) 3

IENG537

CIM Systems

(3,0) 3

IENG538

Supply Chain Management

(3,0) 3

IENG541

Location and Layout Optimization

(3,0) 3

IENG542

Performance Evaluation of Manufacturing Systems

(3,0) 3

IENG556

Technology Management

(3,0) 3

IENG561

Systems Theory

(3,0) 3

IENG562

Systems Simulation

(3,0) 3

IENG581

Design and Analysis of Experiments

(3,0) 3

IENG583

Advanced Statistics

(3,0) 3

IENG584

Advanced Quality Engineering

(3,0) 3

IENG585

Advances in Forecasting

(3,0) 3

IENG586

Reliability Engineering

(3,0) 3

IENG596

Special Topics in Industrial Engineering - I

(3,0) 3

IENG597

Special Topics in Industrial Engineering - II

(3,0) 3

IENG599

Term Project

0

In addition to the above list of elective courses, the student may also take the must courses from the PhD Program as an approved elective course.

Assessment

To qualify for a Master's Degree, candidates must complete the curriculum requirements with a CGPA of at least 3.00/4.00. Furthermore a Term Project should be conducted under the guidance of an instructor. The Term Project subject is usually proposed by the instructors based on the research interests of the candidate students.

Entry Requirements

Applicants are expected to hold a BS degree in IE or related discipline. All candidates must satisfy the requirements of the Institute of Graduate Studies and Research of EMU university.

Career Prospects

Graduates with an MS degree in Industrial Engineering can work in many areas in the industry including operations research, systems engineering, quality assurance, planning and control of production and inventory systems, ergonomics, computer applications, process control, transportation-logistics, service sector, and administrative duties.

Course Description

ENGL501 Advanced English for Thesis Writing - I (3,0) 0

This non credit course aims to develop the academic writing skills of MA/MS and Ph.D. candidates. During the course, participants will have the chance to examine authentic academic texts, and analyse such elements as structure, lexis, and style, especially in theses and dissertations. Participants will then be invited to exploit this detailed understanding of textual dynamics in their own writing and helped to produce work that is accurate, concise, and appropriate. At the same time, attention will be paid to systematically increasing participants' academic vocabulary. In addition to class work, the participants may be expected to do some online work.

Participants are advised to take this course when they are working on their research for their theses. It is essential that participants have at least a good intermediate level of English.

IENG502 Numerical Methods in IE and OR (3,0) 3

A survey of mathematical and numerical methods used in IE and OR related studies presented in a unified structure based upon the theory of computation with special emphasis given to the development of computer codes and design of database.

IENG505 Ergonomics (3,0) 3

The objective of this course is to explore the effects of environmental conditions on the human performance. The topics to be covered are effects of control-display design, environmental conditions (illumination, climate, noise and motion), shift-work, human error, accidents and safety. Moreover, the students will be asked to conduct research projects either in the human factors laboratory or in a real field. The Statistical Package for Social Sciences (SPSS) will be used in the project work.

IENG509 Occupational Safety and Health Engineering (3,0) 3

This course is designed to introduce the student with the principles of safety and health hazards in industrial environment. It provides students with fundamentals of measurement, evaluation, regulation, and control of hazardous conditions, toxic substances, physical agents, and dangerous processes in the industrial environment. Skills development in record keeping, risk assessment and accident cause analysis will also be emphasized. This course will prepare the student for workplace safety and management.

IENG515 Applied Queuing Theory (3,0) 3

Analysis of birth and death processes. Development of elements of queuing theory. Single and multiple server queues for Markovian and non-Markovian arrival and service time distributions (M/M/1, M/M/c, G/M/c, M/G/1, PH/PH/1). Bulk arrival and service systems. Networks of Markovian queues. Lindley's equation for the G/G/1 queue. Applications of queuing theory in manufacturing and service systems.

IENG516 Network Flows (3,0) 3

IENG517 Integer and Discrete Programming (3,0) 3

The course covers the basic solution methods: dynamic programming, implicit enumeration, branch and bound, cutting plane and polyhedral approach. It also gives an introduction to heuristic methods as the use of Lagrange multipliers and local search. Traveling Salesperson Problem (TSP) and optimization in graphs are also discussed. The course aims to provide tools for students dealing with integer programming models for developing their own algorithms for their special problems.

IENG523 Investment Decision Making (3,0) 3

The meaning of investment process in general and for creating systems to produce products and services in particular. Classification of investment decision problems with respect to context and the precision of informational support, i.e. certainty, risk and uncertainty. A general mathematical structure for modeling for investment decisions. Deterministic, stochastic, combinatorial, sequential and dynamic investment decision models, and optimization techniques used for their solutions. A mathematical basis for deriving suitable value measures for evaluating investment alternatives and derivation of such measures. Types of risk taking as the fundamental dimension of a class of investment decision making situations.

IENG524 Financial Engineering (3,1) 3

This course is designed to enable students to understand and conceptualize basics of modern financial markets in the form of mathematical models. Several models of risk free assets and dynamics of risky assets will be discussed. Optimal portfolio management in risky environments will be analyzed. Call and put options of securities in discrete and continuous time settings will be explained. This part includes the famous work of Black-Scholes.

IENG531 Production Planning and Scheduling (3,0) 3

Analysis of some specific problem areas within the context of planning and scheduling of production activities. Definition, formulation and available solution procedures for aggregate planning, lot sizing, material requirements planning, cutting stock, line balancing, single processor scheduling, multi processor scheduling problems are studied.

IENG538 Supply Chain Management (3,0) 3

Supply chain management; New product development; Management and control of purchasing and logistics management systems. Strategic orientation toward the design and development of the supply chain for purchasing, materials, and logistics systems. Total Quality Management to assess and assure customer satisfaction. Global strategies. Expert systems for continuous improvement of the supply chain.

IENG541 Location and Layout Optimization (3,0) 3

Single or multiple facilities location in the plane with minisum or minimax criteria. Discrete or continuous layout optimization. Single facility network location. Applications in public service, production, distribution, warehousing, emergency service, flexible manufacturing.

IENG556 Technology Management (3,0) 3

The course covers a discussion of the major aspects of advanced manufacturing and process technologies, selection and implementation of new technologies, and the management of technological and organizational changes.

IENG562 Systems Simulation (3,0) 3

The design and analysis of simulation models. The use of simulation for estimation, comparison of policies, and optimization. Variance estimation techniques including the regenerative methods, time series methods, and batch means. Variance reduction. Statistical analysis of output of simulations, applications to modeling stochastic systems in Industrial Engineering and Operations Research.

IENG584 Advanced Quality Engineering (3,0) 3

This course is designed to introduce a conceptual and practical notion of advanced quality control in engineering. It also provides students with methods and philosophy of statistical process control. The course contents include introduction to advanced quality control and improvement concepts in production processes, control charts for variable and attributes, cumulative sum control charts, economic design of control charts, fractional factorial experiments for process design, process optimization with designed experiments, advanced acceptance sampling techniques and lot-by-lot acceptance sampling for attributes.

IENG586 Reliability Engineering (3,0) 3

IENG596/597 Special Topics in Industrial Engineering – I / II (3,0) 3

Recent advances in selected topics in industrial engineering will be covered. The topics and the contents of the course will depend on the course instructor and will be announced in the beginning of each semester.

IENG599 Term Project 0

In this course, the student is expected to work on a well-defined short project, covering a specific area of his/her choice. Alternatively, the work could cover any specific industrial problem and its solution or could even be a literature survey of a research topic. The end result will be a compilation of a final technical report of the study and presentation before the jury.